Adaptive fuzzy decentralized control for a class of large-scale nonlinear systems with MIMO subsystems

H. Yousef*, E. El-Madbouly, D. Eteim, M. Hamdy

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

This paper presents a fuzzy basis function approach for adaptive decentralized control of a class of large-scale nonlinear systems with MEMO subsystems. Hybrid adaptive-robust tracking control schemes which are based on a combination of the IT tracking theory, and fuzzy control design are developed such that all the states and signals are bounded and the H tracking control performance is guaranteed. In addition, each subsystem is able to adaptively compensate for disturbances and interconnections with unknown bounds. The resultant decentralized control with multi-controller architecture guarantee stability and convergence of the output errors to zero asymptotically, by local output-feedback. Simulation results on the control of a model of a nonlinear electrical machine are presented to illustrate the effectiveness of the proposed controller.

Original languageEnglish
Title of host publication2006 International Conference on Computer Engineering and Systems, ICCES'06
PublisherIEEE Computer Society
Pages27-32
Number of pages6
ISBN (Print)1424402719, 9781424402717
DOIs
Publication statusPublished - 2006
Externally publishedYes
Event2006 International Conference on Computer Engineering and Systems, ICCES'06 - Cairo, Egypt
Duration: Nov 5 2006Nov 7 2006

Publication series

Name2006 International Conference on Computer Engineering and Systems, ICCES'06

Other

Other2006 International Conference on Computer Engineering and Systems, ICCES'06
Country/TerritoryEgypt
CityCairo
Period11/5/0611/7/06

ASJC Scopus subject areas

  • Computer Science Applications

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